--------------------------------------------------------------------------- --- Library with an implementation of red-black trees: ---

--- Serves as the base for both TableRBT and SetRBT --- All the operations on trees are generic, i.e., one has to provide --- two explicit order predicates ("lessThan" and "eq"below) --- on elements. --- --- @author Johannes Koj, Michael Hanus, Bernd Braßel --- @version March 2005 ---------------------------------------------------------------------------- module RedBlackTree (RedBlackTree, empty, isEmpty, lookup, update, tree2list, sort, newTreeLike, setInsertEquivalence, delete ) where ---------------------------------------------------------------------------- -- the main interface: --- A red-black tree consists of a tree structure and three order predicates. --- These predicates generalize the red black tree. They define --- 1) equality when inserting into the tree
--- eg for a set eqInsert is (==), --- for a multiset it is (\ _ _ -> False) --- for a lookUp-table it is ((==) . fst) --- 2) equality for looking up values --- eg for a set eqLookUp is (==), --- for a multiset it is (==) --- for a lookUp-table it is ((==) . fst) --- 3) the (less than) relation for the binary search tree data RedBlackTree a = RedBlackTree (a->a->Bool) (a->a->Bool) (a->a->Bool) (Tree a) --- The three relations are inserted into the structure by function empty. --- Returns an empty tree, i.e., an empty red-black tree --- augmented with the order predicates. empty :: (a->a->Bool) -> (a->a->Bool) -> (a->a->Bool) -> RedBlackTree a empty eqInsert eqLookUp lessThan = RedBlackTree eqInsert eqLookUp lessThan Empty --- Test on emptyness isEmpty (RedBlackTree _ _ _ Empty) = True isEmpty (RedBlackTree _ _ _ (Tree _ _ _ _)) = False --- Creates a new empty red black tree from with the same ordering as a give one. newTreeLike (RedBlackTree eqIns eqLk lt _) = RedBlackTree eqIns eqLk lt Empty --- Returns an element if it is contained in a red-black tree. --- @param p - a pattern for an element to look up in the tree --- @param t - a red-black tree --- @return the contained True if p matches in t lookup :: a -> RedBlackTree a -> Maybe a lookup p (RedBlackTree _ eqLk lt t) = lookupTree eqLk lt p t lookupTree :: (a->a->Bool) -> (a->a->Bool) -> a -> Tree a -> Maybe a lookupTree _ _ _ Empty = Nothing lookupTree eq lt p (Tree _ e l r) | eq p e = Just e | lt p e = lookupTree eq lt p l | otherwise = lookupTree eq lt p r --- Updates/inserts an element into a RedBlackTree. update :: a -> RedBlackTree a -> RedBlackTree a update e (RedBlackTree eqIns eqLk lt t) = RedBlackTree eqIns eqLk lt (updateTree eqIns lt e t) updateTree :: (a->a->Bool) -> (a->a->Bool) -> a -> Tree a -> Tree a updateTree eq lt e t = let (Tree _ e2 l r) = upd t in Tree Black e2 l r where upd Empty = Tree Red e Empty Empty upd (Tree c e2 l r) | eq e e2 = Tree c e l r | lt e e2 = balanceL (Tree c e2 (upd l) r) | otherwise = balanceR (Tree c e2 l (upd r)) --- Deletes entry from red black tree. delete :: a -> RedBlackTree a -> RedBlackTree a delete e (RedBlackTree eqIns eqLk lt t) = RedBlackTree eqIns eqLk lt (blackenRoot (deleteTree eqLk lt e t)) where blackenRoot Empty = Empty blackenRoot (Tree _ x l r) = Tree Black x l r deleteTree _ _ _ Empty = Empty -- no error for non existence deleteTree eq lt e (Tree c e2 l r) | eq e e2 = if l==Empty then addColor c r else if r==Empty then addColor c l else let el = rightMost l in delBalanceL (Tree c el (deleteTree eq lt el l) r) | lt e e2 = delBalanceL (Tree c e2 (deleteTree eq lt e l) r) | otherwise = delBalanceR (Tree c e2 l (deleteTree eq lt e r)) where addColor Red tree = tree addColor Black Empty = Empty addColor Black (Tree Red x lx rx) = Tree Black x lx rx addColor Black (Tree Black x lx rx) = Tree DoublyBlack x lx rx rightMost (Tree _ x _ rx) = if rx==Empty then x else rightMost rx --- Transforms a red-black tree into an ordered list of its elements. tree2list :: RedBlackTree a -> [a] tree2list (RedBlackTree _ _ _ t) = tree2listTree t tree2listTree tree = t2l tree [] where t2l Empty es = es t2l (Tree _ e l r) es = t2l l (e : t2l r es) --- Generic sort based on insertion into red-black trees. --- The first argument is the order for the elements. sort :: (a->a->Bool) -> [a] -> [a] sort cmp xs = tree2list (foldr update (empty (\_ _->False) (==) cmp) xs) --- For compatibility with old version only setInsertEquivalence :: (a->a->Bool) -> RedBlackTree a -> RedBlackTree a setInsertEquivalence eqIns (RedBlackTree _ eqLk lt t) = RedBlackTree eqIns eqLk lt t ---------------------------------------------------------------------------- -- implementation of red-black trees: rbt (RedBlackTree _ _ _ t) = t --- The colors of a node in a red-black tree. data Color = Red | Black | DoublyBlack --- The structure of red-black trees. data Tree a = Tree Color a (Tree a) (Tree a) | Empty isBlack :: Tree _ -> Bool isBlack Empty = True isBlack (Tree c _ _ _) = c==Black isRed :: Tree _ -> Bool isRed Empty = False isRed (Tree c _ _ _) = c==Red isDoublyBlack :: Tree _ -> Bool isDoublyBlack Empty = True isDoublyBlack (Tree c _ _ _) = c==DoublyBlack element :: Tree a -> a element (Tree _ e _ _) = e left :: Tree a -> Tree a left (Tree _ _ l _) = l right :: Tree a -> Tree a right (Tree _ _ _ r) = r singleBlack Empty = Empty singleBlack (Tree DoublyBlack x l r) = Tree Black x l r --- for the implementation of balanceL and balanceR refer to picture 3.5, page 27, --- Okasaki "Purely Functional Data Structures" balanceL :: Tree a -> Tree a balanceL tree | isRed leftTree && isRed (left leftTree) = let Tree _ z (Tree _ y (Tree _ x a b) c) d = tree in Tree Red y (Tree Black x a b) (Tree Black z c d) | isRed leftTree && isRed (right leftTree) = let Tree _ z (Tree _ x a (Tree _ y b c)) d = tree in Tree Red y (Tree Black x a b) (Tree Black z c d) | otherwise = tree where leftTree = left tree balanceR :: Tree a -> Tree a balanceR tree | isRed rightTree && isRed (right rightTree) = let Tree _ x a (Tree _ y b (Tree _ z c d)) = tree in Tree Red y (Tree Black x a b) (Tree Black z c d) | isRed rightTree && isRed (left rightTree) = let Tree _ x a (Tree _ z (Tree _ y b c) d) = tree in Tree Red y (Tree Black x a b) (Tree Black z c d) | otherwise = tree where rightTree = right tree --- balancing after deletion delBalanceL :: Tree a -> Tree a delBalanceL tree = if isDoublyBlack (left tree) then reviseLeft tree else tree reviseLeft tree | r==Empty = tree | blackr && isRed (left r) = let Tree col x a (Tree _ z (Tree _ y b c) d) = tree in Tree col y (Tree Black x (singleBlack a) b) (Tree Black z c d) | blackr && isRed (right r) = let Tree col x a (Tree _ y b (Tree _ z c d)) = tree in Tree col y (Tree Black x (singleBlack a) b) (Tree Black z c d) | blackr = let Tree col x a (Tree _ y b c) = tree in Tree (if col==Red then Black else DoublyBlack) x (singleBlack a) (Tree Red y b c) | otherwise = let Tree _ x a (Tree _ y b c) = tree in Tree Black y (reviseLeft (Tree Red x a b)) c where r = right tree blackr = isBlack r delBalanceR :: Tree a -> Tree a delBalanceR tree = if isDoublyBlack (right tree) then reviseRight tree else tree reviseRight tree | l==Empty = tree | blackl && isRed (left l) = let Tree col x (Tree _ y (Tree _ z d c) b) a = tree in Tree col y (Tree Black z d c) (Tree Black x b (singleBlack a)) | blackl && isRed (right l) = let Tree col x (Tree _ z d (Tree _ y c b)) a = tree in Tree col y (Tree Black z d c) (Tree Black x b (singleBlack a)) | blackl = let Tree col x (Tree _ y c b) a = tree in Tree (if col==Red then Black else DoublyBlack) x (Tree Red y c b) (singleBlack a) | otherwise = let Tree _ x (Tree _ y c b) a = tree in Tree Black y c (reviseRight (Tree Red x b a)) where l = left tree blackl = isBlack l